HR6573-119

In Committee

AI Talent Act

119th Congress Introduced Dec 10, 2025

Summary

What This Bill Does

The AI Talent Act gives agencies authority to establish technology and artificial-intelligence talent teams, including at component level, to support hiring for technology and AI positions. These teams may include shared certificate coordinators, recruiters, assessment experts, subject matter experts, and nontechnical staff supporting AI governance, innovation, and risk management. The teams can improve examinations, write competitive-service job announcements, share high-quality certificates of eligibles, and help agencies hire using examinations and subject matter experts. OPM may expand its hiring experience team and may create a federal technology and AI talent team to support pooled hiring, candidate engagement, training, technical assessments, shared certificates, and hiring platforms. Subject matter experts can develop and administer job-related technical assessments in partnership with HR staff, and agencies may share or customize assessments while maintaining control. OPM must establish an online platform for sharing and rating technical assessments. Starting five years after enactment, examinations may not solely or principally rely on self-assessments from automated examinations unless a Chief Human Capital Officer issues a justified waiver that OPM posts publicly.

Who Benefits and How

Federal agencies benefit from pooled hiring tools and expert assessments for hard-to-fill AI and technology positions. Applicants for federal AI jobs benefit from more job-relevant assessments and shared certificates that can reach multiple agencies. Hiring managers benefit from recruiters, assessment experts, subject matter experts, and centralized OPM support. OPM benefits from explicit authority to build a federal AI talent team and assessment-sharing platform. The public benefits if agencies hire stronger AI governance and risk-management staff.

Who Bears the Burden and How

OPM must expand hiring support, operate a federal AI talent team if created, build the assessment-sharing platform, post waivers, and guide agencies. Agency HR offices must staff talent teams, coordinate shared certificates, write announcements, maintain examination materials, and manage technical assessments. Subject matter experts must develop or administer assessments with HR staff. Chief Human Capital Officers must justify waivers from the self-assessment limit. Federal taxpayers bear the staffing and platform costs.

Key Provisions

  • Authorizes agencies to establish technology and AI talent teams for competitive-service hiring.
  • Authorizes OPM to create a federal technology and AI talent team and expand pooled hiring support.
  • Allows subject matter experts to develop and administer technical assessments with HR staff.
  • Requires OPM to operate an online platform for sharing and rating technical assessments.
  • Limits self-assessment-only automated examinations after five years unless a posted CHCO waiver justifies the need.

Evidence Chain:

This summary is generated from the full bill text using AI analysis. Expand "Detailed Analysis" below for identified beneficiaries/burden bearers with clause-level evidence links.

At a Glance

What This Bill Does

Lets agencies and OPM create technology and AI talent teams, pooled hiring support, shared certificates, subject-matter-expert assessments, a federal AI talent team, an assessment-sharing platform, and limits on self-assessment-only examinations after five years.

Key Policy Areas

Artificial Intelligence, Federal Workforce, Hiring

Primary Purpose

Lets agencies and OPM create technology and AI talent teams, pooled hiring support, shared certificates, subject-matter-expert assessments, a federal AI talent team, an assessment-sharing platform, and limits on self-assessment-only examinations after five years.

Policy Domains

Artificial Intelligence Federal Workforce Hiring

Substantive provisions

Identified Gains
  • Federal agencies hiring AI staff
  • Applicants for federal AI jobs
  • Hiring managers
  • Office of Personnel Management
  • Subject matter experts
  • Public users of federal AI systems
Model: codex-gpt-5 | Version: bill_summary_v2 | Source: ih
Hiring managers:
Subject matter experts:
Applicants for federal AI jobs:
Office of Personnel Management:
Federal agencies hiring AI staff:
Public users of federal AI systems:
Identified Costs
  • OPM hiring staff
  • Agency HR offices
  • Subject matter experts
  • Chief Human Capital Officers
  • Federal taxpayers
Model: codex-gpt-5 | Version: bill_summary_v2 | Source: ih
OPM hiring staff:
Agency HR offices:
Federal taxpayers:
Subject matter experts:
Chief Human Capital Officers:

Legislative Progress

In Committee
Introduced Committee Passed
Dec 10, 2025

Ms. Jacobs (for herself, Mr. Obernolte, Ms. Brown, and Mr. …

Dec 10, 2025

Referred to the House Committee on Oversight and Government Reform.

Dec 10, 2025

Introduced in House

Stakeholder Effects

cui bono?

How this legislation distributes effects. Mention counts reflect frequency, not effect magnitude.

Government
4 mentions across 1 clause
+1 positive -3 negative

Agency HR offices, Chief Human Capital Officers, Federal agencies hiring AI staff

Positive-direction: Federal agencies hiring AI staff

Negative-direction: Agency HR offices, Chief Human Capital Officers, OPM hiring staff

Labor
1 mention across 1 clause
+1 positive

Applicants for federal AI jobs

Professional Services
1 mention across 1 clause
-1 negative

Subject matter experts

1/2
sections analyzed
Full impact breakdown

Bill Structure & Actor Mappings

Who is "The Secretary" in each section?

Domains
Artificial Intelligence Federal Workforce Hiring
Actor Mappings
"workers"
→ ['Agency HR offices', 'Subject matter experts']
"agencies"
→ ['Office of Personnel Management']

We use a combination of our own taxonomy and classification in addition to large language models to assess meaning and potential beneficiaries. High confidence means strong textual evidence. Always verify with the original bill text.

Learn more about our methodology